AISB convention 2017

  In the run up to AISB2017 convention, I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid al-Rifaie (https://twitter.com/mohmaj) Tu...


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Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


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Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


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Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


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Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


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Notice

AISB opportunities Bulletin Item

Computer Vision Research Engineer in Human Screening/Recognition

http://www.dcs.qmul.ac.uk/staff/recruit/

Research Engineer  To Develop a Computer Vision System for Real-Time Human Screening/Profiling/Recognition, Queen Mary University of London, UK

Experience and qualifications:
C++, Matlab, OpenCV, XML, Linux, Visual Studio, a suitable PhD or Master degree in Video/image processing/Computer Vision and Machine learning, 3+yrs software development, be self-motivated, technically accomplished and a team worker.

Applications are invited for a research engineer to develop a real-time human screening and profiling system using computer vision and machine learning techniques. The work is part of a 15 months proof-of-concept project. Salary 34K per annum inclusive.

Successful candidate will join a team of researchers at the Queen Mary Vision Laboratory in the School of Electronic Engineering and Computer Science, Queen Mary University of London (http://www.dcs.qmul.ac.uk/research/vision/), specialising in video behaviour analysis and abnormality detection, people detection and tracking in crowded scenes, video object super-resolution for face recognition, human facial expression and body language modelling , video-audio avatar, dynamic scene background removal, and object categorisation.

Further information and application form at http://www.dcs.qmul.ac.uk/staff/recruit/. To apply, applicants should send electronically Prof Shaogang Gong (sgg@dcs.qmul.ac.uk) a completed application form with a CV. Interviews commence 10th February 2009.